254 citations · 296 across the 4 of their papers we have counts for
4 papers
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems
Jure Sokolic, Qiang Qiu, Miguel R. D. Rodrigues +1
Security, privacy, and fairness have become critical in the era of data science and machine learning. More and more we see that achieving universally secure, private, and fair syst…
Generalization Error of Invariant Classifiers
Jure Sokolic, Raja Giryes, Guillermo Sapiro +1
This paper studies the generalization error of invariant classifiers. In particular, we consider the common scenario where the classification task is invariant to certain transform…
Robust Large Margin Deep Neural Networks
Jure Sokolic, Raja Giryes, Guillermo Sapiro +1
The generalization error of deep neural networks via their classification margin is studied in this work. Our approach is based on the Jacobian matrix of a deep neural network and…
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification
Jure Sokolic, Francesco Renna, Robert Calderbank +1
This paper considers the classification of linear subspaces with mismatched classifiers. In particular, we assume a model where one observes signals in the presence of isotropic Ga…